Face Recognition Using MATLAB Project

Face Recognition Using MATLAB Project

             Face Recognition Using MATLAB Project is our best project provider started with us for students and research scholars those who are interested to work on Face Detection. We have 150+ MATLAB Experts who have the knowledge to develop the best Matlab project in the field of Face Detection. Our organization has ISO 9001.2000 certification also with the position of world number one institute across the world.

Our top experts give an insight about Face Detection using MATLAB Project and guide you according to your ideas. We also take-up concepts from the top international journals indexed in SCI, SCOPUS, and ISI. We are also one the member of 500+ top international journals [IEEE, Springer, Elsevier, ScienceDirect, ACM, and also EURASIP, InderScience, etc.]. We provide support for both simulation and hardware-based face recognition projects. Lend your hand with us. We also carry you to reach your dream project.

Face Recognition Project

            Face Recognition Using MATLAB Project returns our ideas and concepts for your final year and research oriented projects. We have n number of concepts and develop hybrid algorithms for every process because nowadays, hybrid algorithms only give the best results. For any kind of support, we stay with you. Students feel our work and just think to join us for their research work or any academic projects. We have specialized experts; they can also solve your queries individually.

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Let’s have a glance over the Face Detection,

Face Detection is a very complex problem in the field of image processing. Many methods, techniques, algorithms, and also tools have been introduced to solve this problem. From our current state-of-art, we also find that face detection is a curious research area under research by various country researchers. The lists of troubles that are also facing our students are as follows:

  • Input image was low-quality
  • The databases which also have low input images
  • Easiest and effective steps where faces are also identified accurately
  • Achieve less error rates also with high accuracy

Steps for Face Detection

  • Preprocessing
  • Pose Estimation
  • Image acquisition
  • Image Registration
  • Illumination compensation
  • Face print Creation
  • Patches conversion
  • Feature Extraction
  • Feature Selection
  • Learning/Modeling
  • Verification or identification
  • Detection and also in Classification

Face Recognition Techniques in MATLAB

  • Feature extraction also with BRISK, FREAK, SURF descriptors
  • Machine Learning techniques
  • Deep neural networks
  • Ensemble also learning based methods
  • Video based Face Detection
  • Biometric authentication also in using Watermarking
  • Appearance and Geometric also based feature based methods
  • Fingerprint matching
  • Retina scanning and also in Iris scanning

Face Detection Toolboxes in MATLAB

  • Computer Vision System Toolbox
  • Neural network Toolbox
  • Statistics and also in Machine learning Toolbox
  • Objects or Faces Detection Toolboxs
  • The PhD face recognition toolbox
  • INFace Toolbox
  • Video Face Recognition toolbox
  • Sparse Representation Toolbox
  • And also in Image Acquisition Toolbox

Face Detection Algorithm in MATLAB

  • Principal Component Analysis
  • Support Vector Machines
  • ICA Algorithm
  • Deep learning
  • Ensemble Convolutional Neural Networks
  • MapReduce Assisted K-Nearest Neighbor Algorithm
  • Template matching
  • Fisher Linear Discriminant
  • Neural Networks
  • Dual-tree complex wavelet transformation
  • And also in Deep Belief Networks

Face Databases

  • Face Scrub
  • VMU dataset
  • 3D mask attack database
  • Natural visible facial expression database
  • Infrared visible-facial also based on expression database
  • SiblingsDB database
  • MORPH Database
  • Multi-PIE and also PIE database
  • Face database also for surveillance cameras
  • NLPR face database
  • ORL database
  • Video database [face actions]
  • AR face database
  • Valid database
  • MIT CBCL face database
  • CAS-PEAL face database
  • OUT face database
  • UCD color image database
  • VidTIMIT database
  • UMB also based on database
  • Speech database
  • Mobile biometry database
  • M2MVTS multimodal database
  • Extended M2VTS database
  • AR face database
  • LFWcrop database
  • 3D_RMA database

Applications of Face Recognition in MATLAB

  • Biometrics applications
  • Law enforcement
  • Human identification systems
  • Suspect criminals
  • Human Computer Interaction
  • Security Systems
  • Voter Verification and Identification
  • Access control systems
  • And also in Banking applications (ATM transactions)

List of Face Recognition Using MATLAB Project Topics

  • Local Binary Pattern Method also based Face Recognition Methods
  • PCA versus Improved PCA performance evaluation also for image compression, and face detection
  • Artificial neural networks based face detection and also expression recognition using Matlab
  • Face detection from video files also with various file formats in Matlab
  • Eye motion tracking also based face recognition in human computer interaction
  • So Neural Network also based face recognition with DdCT facial features extraction mechanisms
  • Face detection in surveilanace also based application systems
  • Template feature and also skin color feature in RGB space for face detection